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A clinical decision support tool to assist with the interpretation of the 12-lead Electrocardiogram

Breen, Cathal, J, Bond, RR and Finlay, DD (2017) A clinical decision support tool to assist with the interpretation of the 12-lead Electrocardiogram. Health Informatics Journal . pp. 1-11. [Journal article]

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URL: http://journals.sagepub.com/doi/abs/10.1177/1460458216683534

DOI: 10.1177/1460458216683534

Abstract

INTRODUCTIONThis paper reports the design and testing of a novel interactive method to assist interpretation of 12-lead Electrocardiogram (ECG).METHODSParticipants (n=15) interpreted a total of 150 12 lead ECG recordings randomly using a standard and a novel (ANALYSE) reporting format.RESULTSThe overall aggregated mean mark attained using the standard format was 53% (range = 38 - 82%, SD = 12). Conversely, the overall aggregated mean mark attained using the ANALYSE format was 75% (range = 55 - 93%, SD = 9). A total of 14/15 participants consistently scored higher when interpreting ECGs using the ANALYSE format (range = 10 - 45%). A significant difference between the aggregated marks scored using the ANALYSE format and the standard format was calculated (Wilcoxon Z Score = -3.2374 (df =14), p-value < 0.01).CONCLUSIONThis study demonstrates the clinical utility of a novel method (ANALYSE) to assist the learning of ECG interpretation and its association with enhanced diagnostic performance in novices.

Item Type:Journal article
Keywords:Electrocardiography, Decision Support Systems, Teaching,
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Computing & Engineering > School of Engineering
Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
Institute of Nursing and Health Research
Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:36289
Deposited By: Mr Cathal Breen
Deposited On:22 Nov 2016 14:10
Last Modified:17 Oct 2017 16:26

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